Overview

Brought to you by YData

Dataset statistics

Number of variables23
Number of observations30000
Missing cells0
Missing cells (%)0.0%
Duplicate rows52
Duplicate rows (%)0.2%
Total size in memory5.3 MiB
Average record size in memory184.0 B

Variable types

Numeric20
Categorical3

Alerts

Dataset has 52 (0.2%) duplicate rowsDuplicates
BILL_AMT1 is highly overall correlated with BILL_AMT2 and 8 other fieldsHigh correlation
BILL_AMT2 is highly overall correlated with BILL_AMT1 and 10 other fieldsHigh correlation
BILL_AMT3 is highly overall correlated with BILL_AMT1 and 11 other fieldsHigh correlation
BILL_AMT4 is highly overall correlated with BILL_AMT1 and 13 other fieldsHigh correlation
BILL_AMT5 is highly overall correlated with BILL_AMT1 and 13 other fieldsHigh correlation
BILL_AMT6 is highly overall correlated with BILL_AMT1 and 11 other fieldsHigh correlation
PAY_0 is highly overall correlated with PAY_2 and 2 other fieldsHigh correlation
PAY_2 is highly overall correlated with BILL_AMT1 and 7 other fieldsHigh correlation
PAY_3 is highly overall correlated with BILL_AMT1 and 9 other fieldsHigh correlation
PAY_4 is highly overall correlated with BILL_AMT1 and 10 other fieldsHigh correlation
PAY_5 is highly overall correlated with BILL_AMT2 and 8 other fieldsHigh correlation
PAY_6 is highly overall correlated with BILL_AMT2 and 8 other fieldsHigh correlation
PAY_AMT1 is highly overall correlated with BILL_AMT1 and 5 other fieldsHigh correlation
PAY_AMT2 is highly overall correlated with BILL_AMT3 and 5 other fieldsHigh correlation
PAY_AMT3 is highly overall correlated with BILL_AMT4 and 7 other fieldsHigh correlation
PAY_AMT4 is highly overall correlated with BILL_AMT4 and 6 other fieldsHigh correlation
PAY_AMT5 is highly overall correlated with BILL_AMT4 and 5 other fieldsHigh correlation
PAY_AMT6 is highly overall correlated with BILL_AMT5 and 4 other fieldsHigh correlation
PAY_AMT2 is highly skewed (γ1 = 30.45381745)Skewed
PAY_0 has 14737 (49.1%) zerosZeros
PAY_2 has 15730 (52.4%) zerosZeros
PAY_3 has 15764 (52.5%) zerosZeros
PAY_4 has 16455 (54.9%) zerosZeros
PAY_5 has 16947 (56.5%) zerosZeros
PAY_6 has 16286 (54.3%) zerosZeros
BILL_AMT1 has 2008 (6.7%) zerosZeros
BILL_AMT2 has 2506 (8.4%) zerosZeros
BILL_AMT3 has 2870 (9.6%) zerosZeros
BILL_AMT4 has 3195 (10.7%) zerosZeros
BILL_AMT5 has 3506 (11.7%) zerosZeros
BILL_AMT6 has 4020 (13.4%) zerosZeros
PAY_AMT1 has 5249 (17.5%) zerosZeros
PAY_AMT2 has 5396 (18.0%) zerosZeros
PAY_AMT3 has 5968 (19.9%) zerosZeros
PAY_AMT4 has 6408 (21.4%) zerosZeros
PAY_AMT5 has 6703 (22.3%) zerosZeros
PAY_AMT6 has 7173 (23.9%) zerosZeros

Reproduction

Analysis started2025-11-17 16:22:54.828972
Analysis finished2025-11-17 16:23:24.166733
Duration29.34 seconds
Software versionydata-profiling vv4.17.0
Download configurationconfig.json

Variables

LIMIT_BAL
Real number (ℝ)

Distinct81
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167484.32
Minimum10000
Maximum1000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-11-17T23:23:24.232708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile20000
Q150000
median140000
Q3240000
95-th percentile430000
Maximum1000000
Range990000
Interquartile range (IQR)190000

Descriptive statistics

Standard deviation129747.66
Coefficient of variation (CV)0.77468541
Kurtosis0.5362629
Mean167484.32
Median Absolute Deviation (MAD)90000
Skewness0.99286696
Sum5.0245297 × 109
Variance1.6834456 × 1010
MonotonicityNot monotonic
2025-11-17T23:23:24.317822image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
500003365
 
11.2%
200001976
 
6.6%
300001610
 
5.4%
800001567
 
5.2%
2000001528
 
5.1%
1500001110
 
3.7%
1000001048
 
3.5%
180000995
 
3.3%
360000881
 
2.9%
60000825
 
2.8%
Other values (71)15095
50.3%
ValueCountFrequency (%)
10000493
 
1.6%
160002
 
< 0.1%
200001976
6.6%
300001610
5.4%
40000230
 
0.8%
500003365
11.2%
60000825
 
2.8%
70000731
 
2.4%
800001567
5.2%
90000651
 
2.2%
ValueCountFrequency (%)
10000001
 
< 0.1%
8000002
 
< 0.1%
7800002
 
< 0.1%
7600001
 
< 0.1%
7500004
< 0.1%
7400002
 
< 0.1%
7300002
 
< 0.1%
7200003
 
< 0.1%
7100006
< 0.1%
7000008
< 0.1%

AGE
Real number (ℝ)

Distinct56
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.4855
Minimum21
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-11-17T23:23:24.551495image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile23
Q128
median34
Q341
95-th percentile53
Maximum79
Range58
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.2179041
Coefficient of variation (CV)0.25976537
Kurtosis0.044303378
Mean35.4855
Median Absolute Deviation (MAD)6
Skewness0.73224587
Sum1064565
Variance84.969755
MonotonicityNot monotonic
2025-11-17T23:23:24.627445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
291605
 
5.3%
271477
 
4.9%
281409
 
4.7%
301395
 
4.7%
261256
 
4.2%
311217
 
4.1%
251186
 
4.0%
341162
 
3.9%
321158
 
3.9%
331146
 
3.8%
Other values (46)16989
56.6%
ValueCountFrequency (%)
2167
 
0.2%
22560
 
1.9%
23931
3.1%
241127
3.8%
251186
4.0%
261256
4.2%
271477
4.9%
281409
4.7%
291605
5.3%
301395
4.7%
ValueCountFrequency (%)
791
 
< 0.1%
753
 
< 0.1%
741
 
< 0.1%
734
 
< 0.1%
723
 
< 0.1%
713
 
< 0.1%
7010
< 0.1%
6915
0.1%
685
 
< 0.1%
6716
0.1%

PAY_0
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0167
Minimum-2
Maximum8
Zeros14737
Zeros (%)49.1%
Negative8445
Negative (%)28.1%
Memory size234.5 KiB
2025-11-17T23:23:24.690240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1238015
Coefficient of variation (CV)-67.293505
Kurtosis2.720715
Mean-0.0167
Median Absolute Deviation (MAD)1
Skewness0.73197493
Sum-501
Variance1.2629299
MonotonicityNot monotonic
2025-11-17T23:23:24.741872image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
014737
49.1%
-15686
 
19.0%
13688
 
12.3%
-22759
 
9.2%
22667
 
8.9%
3322
 
1.1%
476
 
0.3%
526
 
0.1%
819
 
0.1%
611
 
< 0.1%
ValueCountFrequency (%)
-22759
 
9.2%
-15686
 
19.0%
014737
49.1%
13688
 
12.3%
22667
 
8.9%
3322
 
1.1%
476
 
0.3%
526
 
0.1%
611
 
< 0.1%
79
 
< 0.1%
ValueCountFrequency (%)
819
 
0.1%
79
 
< 0.1%
611
 
< 0.1%
526
 
0.1%
476
 
0.3%
3322
 
1.1%
22667
 
8.9%
13688
 
12.3%
014737
49.1%
-15686
 
19.0%

PAY_2
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.13376667
Minimum-2
Maximum8
Zeros15730
Zeros (%)52.4%
Negative9832
Negative (%)32.8%
Memory size234.5 KiB
2025-11-17T23:23:24.794797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.197186
Coefficient of variation (CV)-8.9498079
Kurtosis1.5704177
Mean-0.13376667
Median Absolute Deviation (MAD)0
Skewness0.79056502
Sum-4013
Variance1.4332543
MonotonicityNot monotonic
2025-11-17T23:23:24.845623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
015730
52.4%
-16050
 
20.2%
23927
 
13.1%
-23782
 
12.6%
3326
 
1.1%
499
 
0.3%
128
 
0.1%
525
 
0.1%
720
 
0.1%
612
 
< 0.1%
ValueCountFrequency (%)
-23782
 
12.6%
-16050
 
20.2%
015730
52.4%
128
 
0.1%
23927
 
13.1%
3326
 
1.1%
499
 
0.3%
525
 
0.1%
612
 
< 0.1%
720
 
0.1%
ValueCountFrequency (%)
81
 
< 0.1%
720
 
0.1%
612
 
< 0.1%
525
 
0.1%
499
 
0.3%
3326
 
1.1%
23927
 
13.1%
128
 
0.1%
015730
52.4%
-16050
 
20.2%

PAY_3
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1662
Minimum-2
Maximum8
Zeros15764
Zeros (%)52.5%
Negative10023
Negative (%)33.4%
Memory size234.5 KiB
2025-11-17T23:23:24.897309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1968676
Coefficient of variation (CV)-7.2013692
Kurtosis2.0844359
Mean-0.1662
Median Absolute Deviation (MAD)0
Skewness0.84068183
Sum-4986
Variance1.432492
MonotonicityNot monotonic
2025-11-17T23:23:24.948138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
015764
52.5%
-15938
 
19.8%
-24085
 
13.6%
23819
 
12.7%
3240
 
0.8%
476
 
0.3%
727
 
0.1%
623
 
0.1%
521
 
0.1%
14
 
< 0.1%
ValueCountFrequency (%)
-24085
 
13.6%
-15938
 
19.8%
015764
52.5%
14
 
< 0.1%
23819
 
12.7%
3240
 
0.8%
476
 
0.3%
521
 
0.1%
623
 
0.1%
727
 
0.1%
ValueCountFrequency (%)
83
 
< 0.1%
727
 
0.1%
623
 
0.1%
521
 
0.1%
476
 
0.3%
3240
 
0.8%
23819
 
12.7%
14
 
< 0.1%
015764
52.5%
-15938
 
19.8%

PAY_4
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.22066667
Minimum-2
Maximum8
Zeros16455
Zeros (%)54.9%
Negative10035
Negative (%)33.5%
Memory size234.5 KiB
2025-11-17T23:23:25.000320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1691386
Coefficient of variation (CV)-5.2982113
Kurtosis3.4969835
Mean-0.22066667
Median Absolute Deviation (MAD)0
Skewness0.99962941
Sum-6620
Variance1.3668851
MonotonicityNot monotonic
2025-11-17T23:23:25.051856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
016455
54.9%
-15687
 
19.0%
-24348
 
14.5%
23159
 
10.5%
3180
 
0.6%
469
 
0.2%
758
 
0.2%
535
 
0.1%
65
 
< 0.1%
12
 
< 0.1%
ValueCountFrequency (%)
-24348
 
14.5%
-15687
 
19.0%
016455
54.9%
12
 
< 0.1%
23159
 
10.5%
3180
 
0.6%
469
 
0.2%
535
 
0.1%
65
 
< 0.1%
758
 
0.2%
ValueCountFrequency (%)
82
 
< 0.1%
758
 
0.2%
65
 
< 0.1%
535
 
0.1%
469
 
0.2%
3180
 
0.6%
23159
 
10.5%
12
 
< 0.1%
016455
54.9%
-15687
 
19.0%

PAY_5
Real number (ℝ)

High correlation  Zeros 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2662
Minimum-2
Maximum8
Zeros16947
Zeros (%)56.5%
Negative10085
Negative (%)33.6%
Memory size234.5 KiB
2025-11-17T23:23:25.104139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1331874
Coefficient of variation (CV)-4.2569024
Kurtosis3.9897481
Mean-0.2662
Median Absolute Deviation (MAD)0
Skewness1.008197
Sum-7986
Variance1.2841137
MonotonicityNot monotonic
2025-11-17T23:23:25.155673image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
016947
56.5%
-15539
 
18.5%
-24546
 
15.2%
22626
 
8.8%
3178
 
0.6%
484
 
0.3%
758
 
0.2%
517
 
0.1%
64
 
< 0.1%
81
 
< 0.1%
ValueCountFrequency (%)
-24546
 
15.2%
-15539
 
18.5%
016947
56.5%
22626
 
8.8%
3178
 
0.6%
484
 
0.3%
517
 
0.1%
64
 
< 0.1%
758
 
0.2%
81
 
< 0.1%
ValueCountFrequency (%)
81
 
< 0.1%
758
 
0.2%
64
 
< 0.1%
517
 
0.1%
484
 
0.3%
3178
 
0.6%
22626
 
8.8%
016947
56.5%
-15539
 
18.5%
-24546
 
15.2%

PAY_6
Real number (ℝ)

High correlation  Zeros 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2911
Minimum-2
Maximum8
Zeros16286
Zeros (%)54.3%
Negative10635
Negative (%)35.4%
Memory size234.5 KiB
2025-11-17T23:23:25.208312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1499876
Coefficient of variation (CV)-3.95049
Kurtosis3.4265341
Mean-0.2911
Median Absolute Deviation (MAD)0
Skewness0.94802939
Sum-8733
Variance1.3224715
MonotonicityNot monotonic
2025-11-17T23:23:25.260722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
016286
54.3%
-15740
 
19.1%
-24895
 
16.3%
22766
 
9.2%
3184
 
0.6%
449
 
0.2%
746
 
0.2%
619
 
0.1%
513
 
< 0.1%
82
 
< 0.1%
ValueCountFrequency (%)
-24895
 
16.3%
-15740
 
19.1%
016286
54.3%
22766
 
9.2%
3184
 
0.6%
449
 
0.2%
513
 
< 0.1%
619
 
0.1%
746
 
0.2%
82
 
< 0.1%
ValueCountFrequency (%)
82
 
< 0.1%
746
 
0.2%
619
 
0.1%
513
 
< 0.1%
449
 
0.2%
3184
 
0.6%
22766
 
9.2%
016286
54.3%
-15740
 
19.1%
-24895
 
16.3%

BILL_AMT1
Real number (ℝ)

High correlation  Zeros 

Distinct22723
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51223.331
Minimum-165580
Maximum964511
Zeros2008
Zeros (%)6.7%
Negative590
Negative (%)2.0%
Memory size234.5 KiB
2025-11-17T23:23:25.328489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-165580
5-th percentile0
Q13558.75
median22381.5
Q367091
95-th percentile201203.05
Maximum964511
Range1130091
Interquartile range (IQR)63532.25

Descriptive statistics

Standard deviation73635.861
Coefficient of variation (CV)1.4375453
Kurtosis9.8062893
Mean51223.331
Median Absolute Deviation (MAD)21800.5
Skewness2.663861
Sum1.5366999 × 109
Variance5.42224 × 109
MonotonicityNot monotonic
2025-11-17T23:23:25.408393image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02008
 
6.7%
390244
 
0.8%
78076
 
0.3%
32672
 
0.2%
31663
 
0.2%
250059
 
0.2%
39649
 
0.2%
240039
 
0.1%
41629
 
0.1%
105025
 
0.1%
Other values (22713)27336
91.1%
ValueCountFrequency (%)
-1655801
< 0.1%
-1549731
< 0.1%
-153081
< 0.1%
-143861
< 0.1%
-115451
< 0.1%
-106821
< 0.1%
-98021
< 0.1%
-90951
< 0.1%
-81871
< 0.1%
-74381
< 0.1%
ValueCountFrequency (%)
9645111
< 0.1%
7468141
< 0.1%
6530621
< 0.1%
6304581
< 0.1%
6266481
< 0.1%
6217491
< 0.1%
6138601
< 0.1%
6107231
< 0.1%
6085941
< 0.1%
6040191
< 0.1%

BILL_AMT2
Real number (ℝ)

High correlation  Zeros 

Distinct22346
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49179.075
Minimum-69777
Maximum983931
Zeros2506
Zeros (%)8.4%
Negative669
Negative (%)2.2%
Memory size234.5 KiB
2025-11-17T23:23:25.487309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-69777
5-th percentile0
Q12984.75
median21200
Q364006.25
95-th percentile194792.2
Maximum983931
Range1053708
Interquartile range (IQR)61021.5

Descriptive statistics

Standard deviation71173.769
Coefficient of variation (CV)1.4472368
Kurtosis10.302946
Mean49179.075
Median Absolute Deviation (MAD)20810
Skewness2.7052209
Sum1.4753723 × 109
Variance5.0657054 × 109
MonotonicityNot monotonic
2025-11-17T23:23:25.567502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02506
 
8.4%
390231
 
0.8%
78075
 
0.2%
32675
 
0.2%
31672
 
0.2%
39651
 
0.2%
250051
 
0.2%
240042
 
0.1%
-20029
 
0.1%
41628
 
0.1%
Other values (22336)26840
89.5%
ValueCountFrequency (%)
-697771
< 0.1%
-675261
< 0.1%
-333501
< 0.1%
-300001
< 0.1%
-262141
< 0.1%
-247041
< 0.1%
-247021
< 0.1%
-229601
< 0.1%
-186181
< 0.1%
-180881
< 0.1%
ValueCountFrequency (%)
9839311
< 0.1%
7439701
< 0.1%
6715631
< 0.1%
6467701
< 0.1%
6244751
< 0.1%
6059431
< 0.1%
5977931
< 0.1%
5868251
< 0.1%
5817751
< 0.1%
5776811
< 0.1%

BILL_AMT3
Real number (ℝ)

High correlation  Zeros 

Distinct22026
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47013.155
Minimum-157264
Maximum1664089
Zeros2870
Zeros (%)9.6%
Negative655
Negative (%)2.2%
Memory size234.5 KiB
2025-11-17T23:23:25.644035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-157264
5-th percentile0
Q12666.25
median20088.5
Q360164.75
95-th percentile187821.05
Maximum1664089
Range1821353
Interquartile range (IQR)57498.5

Descriptive statistics

Standard deviation69349.387
Coefficient of variation (CV)1.475106
Kurtosis19.783255
Mean47013.155
Median Absolute Deviation (MAD)19708.5
Skewness3.08783
Sum1.4103946 × 109
Variance4.8093375 × 109
MonotonicityNot monotonic
2025-11-17T23:23:25.722713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02870
 
9.6%
390275
 
0.9%
78074
 
0.2%
32663
 
0.2%
31662
 
0.2%
39648
 
0.2%
250040
 
0.1%
240039
 
0.1%
41629
 
0.1%
20027
 
0.1%
Other values (22016)26473
88.2%
ValueCountFrequency (%)
-1572641
< 0.1%
-615061
< 0.1%
-461271
< 0.1%
-340411
< 0.1%
-254431
< 0.1%
-247021
< 0.1%
-203201
< 0.1%
-177061
< 0.1%
-159101
< 0.1%
-156411
< 0.1%
ValueCountFrequency (%)
16640891
< 0.1%
8550861
< 0.1%
6931311
< 0.1%
6896431
< 0.1%
6896271
< 0.1%
6320411
< 0.1%
5974151
< 0.1%
5789711
< 0.1%
5779571
< 0.1%
5770151
< 0.1%

BILL_AMT4
Real number (ℝ)

High correlation  Zeros 

Distinct21548
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43262.949
Minimum-170000
Maximum891586
Zeros3195
Zeros (%)10.7%
Negative675
Negative (%)2.2%
Memory size234.5 KiB
2025-11-17T23:23:25.804808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-170000
5-th percentile0
Q12326.75
median19052
Q354506
95-th percentile174333.35
Maximum891586
Range1061586
Interquartile range (IQR)52179.25

Descriptive statistics

Standard deviation64332.856
Coefficient of variation (CV)1.4870197
Kurtosis11.309325
Mean43262.949
Median Absolute Deviation (MAD)18656
Skewness2.8219653
Sum1.2978885 × 109
Variance4.1387164 × 109
MonotonicityNot monotonic
2025-11-17T23:23:25.884003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03195
 
10.7%
390246
 
0.8%
780101
 
0.3%
31668
 
0.2%
32662
 
0.2%
39644
 
0.1%
15039
 
0.1%
240039
 
0.1%
250034
 
0.1%
41633
 
0.1%
Other values (21538)26139
87.1%
ValueCountFrequency (%)
-1700001
< 0.1%
-813341
< 0.1%
-651671
< 0.1%
-506161
< 0.1%
-466271
< 0.1%
-345031
< 0.1%
-274901
< 0.1%
-243031
< 0.1%
-221081
< 0.1%
-203201
< 0.1%
ValueCountFrequency (%)
8915861
< 0.1%
7068641
< 0.1%
6286991
< 0.1%
6168361
< 0.1%
5728051
< 0.1%
5690341
< 0.1%
5656691
< 0.1%
5635431
< 0.1%
5480201
< 0.1%
5426531
< 0.1%

BILL_AMT5
Real number (ℝ)

High correlation  Zeros 

Distinct21010
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40311.401
Minimum-81334
Maximum927171
Zeros3506
Zeros (%)11.7%
Negative655
Negative (%)2.2%
Memory size234.5 KiB
2025-11-17T23:23:25.961445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-81334
5-th percentile0
Q11763
median18104.5
Q350190.5
95-th percentile165794.3
Maximum927171
Range1008505
Interquartile range (IQR)48427.5

Descriptive statistics

Standard deviation60797.156
Coefficient of variation (CV)1.5081876
Kurtosis12.305881
Mean40311.401
Median Absolute Deviation (MAD)17688.5
Skewness2.8763799
Sum1.209342 × 109
Variance3.6962941 × 109
MonotonicityNot monotonic
2025-11-17T23:23:26.036153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03506
 
11.7%
390235
 
0.8%
78094
 
0.3%
31679
 
0.3%
32662
 
0.2%
15058
 
0.2%
39647
 
0.2%
240039
 
0.1%
250037
 
0.1%
41636
 
0.1%
Other values (21000)25807
86.0%
ValueCountFrequency (%)
-813341
< 0.1%
-613721
< 0.1%
-530071
< 0.1%
-466271
< 0.1%
-375941
< 0.1%
-361561
< 0.1%
-304811
< 0.1%
-283351
< 0.1%
-230031
< 0.1%
-207531
< 0.1%
ValueCountFrequency (%)
9271711
< 0.1%
8235401
< 0.1%
5870671
< 0.1%
5517021
< 0.1%
5478801
< 0.1%
5306721
< 0.1%
5243151
< 0.1%
5161391
< 0.1%
5141141
< 0.1%
5082131
< 0.1%

BILL_AMT6
Real number (ℝ)

High correlation  Zeros 

Distinct20604
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38871.76
Minimum-339603
Maximum961664
Zeros4020
Zeros (%)13.4%
Negative688
Negative (%)2.3%
Memory size234.5 KiB
2025-11-17T23:23:26.113338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-339603
5-th percentile0
Q11256
median17071
Q349198.25
95-th percentile161912
Maximum961664
Range1301267
Interquartile range (IQR)47942.25

Descriptive statistics

Standard deviation59554.108
Coefficient of variation (CV)1.5320661
Kurtosis12.270705
Mean38871.76
Median Absolute Deviation (MAD)16755
Skewness2.8466446
Sum1.1661528 × 109
Variance3.5466917 × 109
MonotonicityNot monotonic
2025-11-17T23:23:26.195755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04020
 
13.4%
390207
 
0.7%
78086
 
0.3%
15078
 
0.3%
31677
 
0.3%
32656
 
0.2%
39645
 
0.1%
41636
 
0.1%
-1833
 
0.1%
240032
 
0.1%
Other values (20594)25330
84.4%
ValueCountFrequency (%)
-3396031
< 0.1%
-2090511
< 0.1%
-1509531
< 0.1%
-946251
< 0.1%
-738951
< 0.1%
-570601
< 0.1%
-514431
< 0.1%
-511831
< 0.1%
-466271
< 0.1%
-457341
< 0.1%
ValueCountFrequency (%)
9616641
< 0.1%
6999441
< 0.1%
5686381
< 0.1%
5277111
< 0.1%
5275661
< 0.1%
5149751
< 0.1%
5137981
< 0.1%
5119051
< 0.1%
5013701
< 0.1%
4991001
< 0.1%

PAY_AMT1
Real number (ℝ)

High correlation  Zeros 

Distinct7943
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5663.5805
Minimum0
Maximum873552
Zeros5249
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-11-17T23:23:26.271462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11000
median2100
Q35006
95-th percentile18428.2
Maximum873552
Range873552
Interquartile range (IQR)4006

Descriptive statistics

Standard deviation16563.28
Coefficient of variation (CV)2.9245246
Kurtosis415.25474
Mean5663.5805
Median Absolute Deviation (MAD)1932
Skewness14.668364
Sum1.6990742 × 108
Variance2.7434226 × 108
MonotonicityNot monotonic
2025-11-17T23:23:26.347128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05249
 
17.5%
20001363
 
4.5%
3000891
 
3.0%
5000698
 
2.3%
1500507
 
1.7%
4000426
 
1.4%
10000401
 
1.3%
1000365
 
1.2%
2500298
 
1.0%
6000294
 
1.0%
Other values (7933)19508
65.0%
ValueCountFrequency (%)
05249
17.5%
19
 
< 0.1%
214
 
< 0.1%
315
 
0.1%
418
 
0.1%
512
 
< 0.1%
615
 
0.1%
79
 
< 0.1%
88
 
< 0.1%
97
 
< 0.1%
ValueCountFrequency (%)
8735521
< 0.1%
5050001
< 0.1%
4933581
< 0.1%
4239031
< 0.1%
4050161
< 0.1%
3681991
< 0.1%
3230141
< 0.1%
3048151
< 0.1%
3020001
< 0.1%
3000391
< 0.1%

PAY_AMT2
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct7899
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5921.1635
Minimum0
Maximum1684259
Zeros5396
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-11-17T23:23:26.421736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1833
median2009
Q35000
95-th percentile19004.35
Maximum1684259
Range1684259
Interquartile range (IQR)4167

Descriptive statistics

Standard deviation23040.87
Coefficient of variation (CV)3.8912741
Kurtosis1641.6319
Mean5921.1635
Median Absolute Deviation (MAD)1991
Skewness30.453817
Sum1.776349 × 108
Variance5.3088171 × 108
MonotonicityNot monotonic
2025-11-17T23:23:26.664186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05396
 
18.0%
20001290
 
4.3%
3000857
 
2.9%
5000717
 
2.4%
1000594
 
2.0%
1500521
 
1.7%
4000410
 
1.4%
10000318
 
1.1%
6000283
 
0.9%
2500251
 
0.8%
Other values (7889)19363
64.5%
ValueCountFrequency (%)
05396
18.0%
115
 
0.1%
220
 
0.1%
318
 
0.1%
411
 
< 0.1%
525
 
0.1%
68
 
< 0.1%
712
 
< 0.1%
89
 
< 0.1%
96
 
< 0.1%
ValueCountFrequency (%)
16842591
< 0.1%
12270821
< 0.1%
12154711
< 0.1%
10245161
< 0.1%
5804641
< 0.1%
4155521
< 0.1%
4010031
< 0.1%
3881261
< 0.1%
3852281
< 0.1%
3849861
< 0.1%

PAY_AMT3
Real number (ℝ)

High correlation  Zeros 

Distinct7518
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5225.6815
Minimum0
Maximum896040
Zeros5968
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-11-17T23:23:26.742591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1390
median1800
Q34505
95-th percentile17589.4
Maximum896040
Range896040
Interquartile range (IQR)4115

Descriptive statistics

Standard deviation17606.961
Coefficient of variation (CV)3.3693139
Kurtosis564.31123
Mean5225.6815
Median Absolute Deviation (MAD)1795
Skewness17.216635
Sum1.5677044 × 108
Variance3.1000509 × 108
MonotonicityNot monotonic
2025-11-17T23:23:26.818211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05968
 
19.9%
20001285
 
4.3%
10001103
 
3.7%
3000870
 
2.9%
5000721
 
2.4%
1500490
 
1.6%
4000381
 
1.3%
10000312
 
1.0%
1200243
 
0.8%
6000241
 
0.8%
Other values (7508)18386
61.3%
ValueCountFrequency (%)
05968
19.9%
113
 
< 0.1%
219
 
0.1%
314
 
< 0.1%
415
 
0.1%
518
 
0.1%
614
 
< 0.1%
718
 
0.1%
810
 
< 0.1%
912
 
< 0.1%
ValueCountFrequency (%)
8960401
< 0.1%
8890431
< 0.1%
5082291
< 0.1%
4175881
< 0.1%
4009721
< 0.1%
3970921
< 0.1%
3804781
< 0.1%
3717181
< 0.1%
3493951
< 0.1%
3442611
< 0.1%

PAY_AMT4
Real number (ℝ)

High correlation  Zeros 

Distinct6937
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4826.0769
Minimum0
Maximum621000
Zeros6408
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-11-17T23:23:26.891452image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1296
median1500
Q34013.25
95-th percentile16014.95
Maximum621000
Range621000
Interquartile range (IQR)3717.25

Descriptive statistics

Standard deviation15666.16
Coefficient of variation (CV)3.246148
Kurtosis277.33377
Mean4826.0769
Median Absolute Deviation (MAD)1500
Skewness12.904985
Sum1.4478231 × 108
Variance2.4542856 × 108
MonotonicityNot monotonic
2025-11-17T23:23:26.968419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06408
 
21.4%
10001394
 
4.6%
20001214
 
4.0%
3000887
 
3.0%
5000810
 
2.7%
1500441
 
1.5%
4000402
 
1.3%
10000341
 
1.1%
2500259
 
0.9%
500258
 
0.9%
Other values (6927)17586
58.6%
ValueCountFrequency (%)
06408
21.4%
122
 
0.1%
222
 
0.1%
313
 
< 0.1%
420
 
0.1%
512
 
< 0.1%
616
 
0.1%
711
 
< 0.1%
87
 
< 0.1%
99
 
< 0.1%
ValueCountFrequency (%)
6210001
< 0.1%
5288971
< 0.1%
4970001
< 0.1%
4321301
< 0.1%
4000461
< 0.1%
3317881
< 0.1%
3309821
< 0.1%
3200081
< 0.1%
3130941
< 0.1%
2929621
< 0.1%

PAY_AMT5
Real number (ℝ)

High correlation  Zeros 

Distinct6897
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4799.3876
Minimum0
Maximum426529
Zeros6703
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-11-17T23:23:27.044426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1252.5
median1500
Q34031.5
95-th percentile16000
Maximum426529
Range426529
Interquartile range (IQR)3779

Descriptive statistics

Standard deviation15278.306
Coefficient of variation (CV)3.1833865
Kurtosis180.06394
Mean4799.3876
Median Absolute Deviation (MAD)1500
Skewness11.127417
Sum1.4398163 × 108
Variance2.3342662 × 108
MonotonicityNot monotonic
2025-11-17T23:23:27.120564image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06703
 
22.3%
10001340
 
4.5%
20001323
 
4.4%
3000947
 
3.2%
5000814
 
2.7%
1500426
 
1.4%
4000401
 
1.3%
10000343
 
1.1%
500250
 
0.8%
6000247
 
0.8%
Other values (6887)17206
57.4%
ValueCountFrequency (%)
06703
22.3%
121
 
0.1%
213
 
< 0.1%
313
 
< 0.1%
412
 
< 0.1%
59
 
< 0.1%
67
 
< 0.1%
79
 
< 0.1%
86
 
< 0.1%
96
 
< 0.1%
ValueCountFrequency (%)
4265291
< 0.1%
4179901
< 0.1%
3880711
< 0.1%
3792671
< 0.1%
3320001
< 0.1%
3317881
< 0.1%
3309821
< 0.1%
3268891
< 0.1%
3170771
< 0.1%
3101351
< 0.1%

PAY_AMT6
Real number (ℝ)

High correlation  Zeros 

Distinct6939
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5215.5026
Minimum0
Maximum528666
Zeros7173
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-11-17T23:23:27.195846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1117.75
median1500
Q34000
95-th percentile17343.8
Maximum528666
Range528666
Interquartile range (IQR)3882.25

Descriptive statistics

Standard deviation17777.466
Coefficient of variation (CV)3.4085815
Kurtosis167.16143
Mean5215.5026
Median Absolute Deviation (MAD)1500
Skewness10.640727
Sum1.5646508 × 108
Variance3.1603829 × 108
MonotonicityNot monotonic
2025-11-17T23:23:27.273052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07173
23.9%
10001299
 
4.3%
20001295
 
4.3%
3000914
 
3.0%
5000808
 
2.7%
1500439
 
1.5%
4000411
 
1.4%
10000356
 
1.2%
500247
 
0.8%
6000220
 
0.7%
Other values (6929)16838
56.1%
ValueCountFrequency (%)
07173
23.9%
120
 
0.1%
29
 
< 0.1%
314
 
< 0.1%
412
 
< 0.1%
57
 
< 0.1%
66
 
< 0.1%
75
 
< 0.1%
86
 
< 0.1%
97
 
< 0.1%
ValueCountFrequency (%)
5286661
< 0.1%
5271431
< 0.1%
4430011
< 0.1%
4220001
< 0.1%
4035001
< 0.1%
3770001
< 0.1%
3724951
< 0.1%
3512821
< 0.1%
3452931
< 0.1%
3080001
< 0.1%

SEX
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size234.5 KiB
2
18112 
1
11888 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters30000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
218112
60.4%
111888
39.6%

Length

2025-11-17T23:23:27.342292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-11-17T23:23:27.393448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
218112
60.4%
111888
39.6%

Most occurring characters

ValueCountFrequency (%)
218112
60.4%
111888
39.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
218112
60.4%
111888
39.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
218112
60.4%
111888
39.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
218112
60.4%
111888
39.6%

EDUCATION
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size234.5 KiB
2
14030 
1
10585 
3
4917 
5
 
280
4
 
123
Other values (2)
 
65

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters30000
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
214030
46.8%
110585
35.3%
34917
 
16.4%
5280
 
0.9%
4123
 
0.4%
651
 
0.2%
014
 
< 0.1%

Length

2025-11-17T23:23:27.439429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-11-17T23:23:27.485882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
214030
46.8%
110585
35.3%
34917
 
16.4%
5280
 
0.9%
4123
 
0.4%
651
 
0.2%
014
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
214030
46.8%
110585
35.3%
34917
 
16.4%
5280
 
0.9%
4123
 
0.4%
651
 
0.2%
014
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
214030
46.8%
110585
35.3%
34917
 
16.4%
5280
 
0.9%
4123
 
0.4%
651
 
0.2%
014
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
214030
46.8%
110585
35.3%
34917
 
16.4%
5280
 
0.9%
4123
 
0.4%
651
 
0.2%
014
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
214030
46.8%
110585
35.3%
34917
 
16.4%
5280
 
0.9%
4123
 
0.4%
651
 
0.2%
014
 
< 0.1%

MARRIAGE
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size234.5 KiB
2
15964 
1
13659 
3
 
323
0
 
54

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters30000
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
215964
53.2%
113659
45.5%
3323
 
1.1%
054
 
0.2%

Length

2025-11-17T23:23:27.544721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-11-17T23:23:27.585922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
215964
53.2%
113659
45.5%
3323
 
1.1%
054
 
0.2%

Most occurring characters

ValueCountFrequency (%)
215964
53.2%
113659
45.5%
3323
 
1.1%
054
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
215964
53.2%
113659
45.5%
3323
 
1.1%
054
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
215964
53.2%
113659
45.5%
3323
 
1.1%
054
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
215964
53.2%
113659
45.5%
3323
 
1.1%
054
 
0.2%

Interactions

2025-11-17T23:23:22.672080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:57.646350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:59.109173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:00.640355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:01.923000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:03.408311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:04.745669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:06.354590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:07.578614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:08.799162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:10.232141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:11.408722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:12.807156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:13.987965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:15.120630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:16.511112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:17.648466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:19.029863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:20.159951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:21.378965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:22.730758image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:57.725597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:59.180551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:00.703150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:01.994579image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:03.467045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:04.812804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:06.416220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:07.643103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:08.861484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:10.289081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:11.470090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:12.866962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:14.045522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:15.181285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:16.566927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:17.711212image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:19.087444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:20.220133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:21.437614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:22.790824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:57.807724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:59.418751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:00.772517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:02.065580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:03.525237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:04.875212image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:06.475392image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:07.704957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:08.924112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:10.349226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:11.534847image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:12.927906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:14.101441image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:15.243736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:16.624755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:17.773355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:19.143220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:20.281557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:21.649740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:22.847191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:57.884799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:59.493209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:00.839608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:02.127269image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:03.589879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:04.938637image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:06.531884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:07.765298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:08.986037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:10.406523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:11.594844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:12.987592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:14.157815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:15.304205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:16.680054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:17.835346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:19.197473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:20.340003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:21.705815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:22.904225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:57.966163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:59.563144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:00.907541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:02.191249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:03.657254image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:04.996108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:06.588881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:07.823607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:09.046138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:10.463106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:11.655157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:13.043610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:14.212196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:15.513690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:16.734285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:17.894924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:19.252898image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:20.399151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:21.762551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:22.963845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:58.041837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:59.629564image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:00.975297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:02.254150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:03.726903image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:05.063140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:06.646240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:07.880714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:09.130978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:10.521565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:11.717448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:13.101497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:14.266666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:15.573153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:16.791736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:17.956387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:19.307787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:20.457528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:21.818625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:23.020835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:58.115397image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:59.694290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:01.032403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:02.316505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:03.794341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:05.132223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:06.702929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:07.941010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:09.191634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:10.577266image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:11.776659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:13.157938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:14.322574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:15.632484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:16.847054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:18.016114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:19.363292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:20.515215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:21.876252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:23.078769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:58.177746image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:59.764821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:01.090111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:02.377117image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:03.865341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:05.204395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:06.759560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:07.998331image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:09.252832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:10.635361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:11.838089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:13.224813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:14.376655image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:15.691381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:16.903602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:18.077261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-11-17T23:23:21.195062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:22.504380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:23.737894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:58.966340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:00.513932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:01.780203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:03.283881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:04.614630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:05.991553image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:07.459887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:08.682572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:10.110900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:11.290455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:12.682029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:13.871114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:15.007961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:16.389484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:17.537120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:18.907931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:20.049236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:21.255944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:22.562497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:23.793512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:22:59.037150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:00.577371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:01.850270image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:03.348157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:04.676332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:06.060948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:07.517056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:08.740027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:10.169902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:11.348724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:12.745763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:13.930916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:15.062835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:16.448801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:17.593323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:18.968869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:20.103279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:21.314082image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T23:23:22.615805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-11-17T23:23:27.640249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
AGEBILL_AMT1BILL_AMT2BILL_AMT3BILL_AMT4BILL_AMT5BILL_AMT6EDUCATIONLIMIT_BALMARRIAGEPAY_0PAY_2PAY_3PAY_4PAY_5PAY_6PAY_AMT1PAY_AMT2PAY_AMT3PAY_AMT4PAY_AMT5PAY_AMT6SEX
AGE1.0000.0010.0020.002-0.003-0.0000.0000.1120.1860.286-0.064-0.083-0.083-0.080-0.083-0.0760.0340.0440.0330.0410.0380.0390.091
BILL_AMT10.0011.0000.9110.8580.8070.7690.7340.0310.0540.0170.3150.5710.5240.5120.4990.4880.5020.4720.4410.4420.4250.4100.026
BILL_AMT20.0020.9111.0000.9080.8480.8030.7650.0420.0490.0120.3300.5510.5890.5580.5380.5240.6360.4980.4680.4610.4490.4290.033
BILL_AMT30.0020.8580.9081.0000.9040.8490.8040.0420.0610.0120.3140.5190.5570.6190.5870.5610.5500.6380.4920.4890.4770.4580.018
BILL_AMT4-0.0030.8070.8480.9041.0000.9030.8480.0250.0730.0140.3070.4980.5310.5930.6500.6060.5120.5550.6340.5070.5040.4810.026
BILL_AMT5-0.0000.7690.8030.8490.9031.0000.9020.0410.0810.0150.2990.4780.5070.5610.6180.6680.4830.5150.5490.6470.5250.5090.021
BILL_AMT60.0000.7340.7650.8040.8480.9021.0000.0180.0880.0160.2890.4590.4850.5340.5790.6300.4560.4870.5190.5700.6660.5290.026
EDUCATION0.1120.0310.0420.0420.0250.0410.0181.0000.1130.1140.0800.0870.0850.0780.0710.0690.0000.0000.0120.0000.0130.0240.029
LIMIT_BAL0.1860.0540.0490.0610.0730.0810.0880.1131.0000.064-0.296-0.343-0.332-0.309-0.285-0.2640.2720.2780.2840.2830.2940.3170.073
MARRIAGE0.2860.0170.0120.0120.0140.0150.0160.1140.0641.0000.0360.0340.0320.0350.0330.0300.0310.0200.0190.0300.0000.0000.032
PAY_0-0.0640.3150.3300.3140.3070.2990.2890.080-0.2960.0361.0000.6270.5480.5160.4860.464-0.098-0.064-0.054-0.034-0.026-0.0450.059
PAY_2-0.0830.5710.5510.5190.4980.4780.4590.087-0.3430.0340.6271.0000.7990.7130.6740.6350.0200.0840.0870.0950.0990.0820.071
PAY_3-0.0830.5240.5890.5570.5310.5070.4850.085-0.3320.0320.5480.7991.0000.8010.7180.6710.2160.0370.1030.1190.1240.0980.067
PAY_4-0.0800.5120.5580.6190.5930.5610.5340.078-0.3090.0350.5160.7130.8011.0000.8220.7320.1850.2460.0690.1440.1620.1430.063
PAY_5-0.0830.4990.5380.5870.6500.6180.5790.071-0.2850.0330.4860.6740.7180.8221.0000.8210.1750.2220.2600.1070.1850.1720.056
PAY_6-0.0760.4880.5240.5610.6060.6680.6300.069-0.2640.0300.4640.6350.6710.7320.8211.0000.1780.2000.2380.2840.1410.1980.047
PAY_AMT10.0340.5020.6360.5500.5120.4830.4560.0000.2720.031-0.0980.0200.2160.1850.1750.1781.0000.5120.5190.4860.4680.4550.000
PAY_AMT20.0440.4720.4980.6380.5550.5150.4870.0000.2780.020-0.0640.0840.0370.2460.2220.2000.5121.0000.5160.5200.4970.4910.000
PAY_AMT30.0330.4410.4680.4920.6340.5490.5190.0120.2840.019-0.0540.0870.1030.0690.2600.2380.5190.5161.0000.5160.5340.5050.012
PAY_AMT40.0410.4420.4610.4890.5070.6470.5700.0000.2830.030-0.0340.0950.1190.1440.1070.2840.4860.5200.5161.0000.5340.5470.000
PAY_AMT50.0380.4250.4490.4770.5040.5250.6660.0130.2940.000-0.0260.0990.1240.1620.1850.1410.4680.4970.5340.5341.0000.5490.014
PAY_AMT60.0390.4100.4290.4580.4810.5090.5290.0240.3170.000-0.0450.0820.0980.1430.1720.1980.4550.4910.5050.5470.5491.0000.012
SEX0.0910.0260.0330.0180.0260.0210.0260.0290.0730.0320.0590.0710.0670.0630.0560.0470.0000.0000.0120.0000.0140.0121.000

Missing values

2025-11-17T23:23:23.902744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-11-17T23:23:24.042663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

LIMIT_BALAGEPAY_0PAY_2PAY_3PAY_4PAY_5PAY_6BILL_AMT1BILL_AMT2BILL_AMT3BILL_AMT4BILL_AMT5BILL_AMT6PAY_AMT1PAY_AMT2PAY_AMT3PAY_AMT4PAY_AMT5PAY_AMT6SEXEDUCATIONMARRIAGE
0200002422-1-1-2-23913310268900006890000221
112000026-120002268217252682327234553261010001000100002000222
29000034000000292391402713559143311494815549151815001000100010005000222
35000037000000469904823349291283142895929547200020191200110010691000221
45000057-10-10008617567035835209401914619131200036681100009000689679121
550000370000006440057069576081939419619200242500181565710001000800112
650000029000000367965412023445007542653483003473944550004000038000202391375013770112
7100000230-1-100-111876380601221-159567380601058116871542222
8140000280020001128514096121081221111793371933290432100010001000231
92000035-2-2-2-2-1-1000013007139120001300711220132
LIMIT_BALAGEPAY_0PAY_2PAY_3PAY_4PAY_5PAY_6BILL_AMT1BILL_AMT2BILL_AMT3BILL_AMT4BILL_AMT5BILL_AMT6PAY_AMT1PAY_AMT2PAY_AMT3PAY_AMT4PAY_AMT5PAY_AMT6SEXEDUCATIONMARRIAGE
29990140000410000001383251371421391101382624967546121600070004228150520002000121
2999121000034322222250025002500250025002500000000121
299921000043000-2-2-28802104000000200000000131
29993100000380-1-10003042142710299670626694735500420001117844000300020002000112
299948000034222222725577770879384775198260781158700035000700004000122
29995220000390000001889481928152083658800431237159808500200005003304750001000131
2999615000043-1-1-1-10016831828350289795190018373526899812900132
299973000037432-1003565335627582087820582193570022000420020003100122
2999880000411-1000-1-1645783797630452774118554894485900340911781926529641804131
299995000046000000479294890549764365353242815313207818001430100010001000121

Duplicate rows

Most frequently occurring

LIMIT_BALAGEPAY_0PAY_2PAY_3PAY_4PAY_5PAY_6BILL_AMT1BILL_AMT2BILL_AMT3BILL_AMT4BILL_AMT5BILL_AMT6PAY_AMT1PAY_AMT2PAY_AMT3PAY_AMT4PAY_AMT5PAY_AMT6SEXEDUCATIONMARRIAGE# duplicates
020000242244441650165016501650165016500000001223
28200000341-2-2-2-2-20000000000002113
34210000491-2-2-2-2-20000000000002213
38360000271-2-2-2-2-20000000000002123
150000221-2-2-2-2-20000000000002222
250000231-2-2-2-2-20000000000002122
350000261-2-2-2-2-20000000000001222
48000025-2-2-2-2-2-20000000000002222
580000271-2-2-2-2-20000000000001322
68000031-2-2-2-2-2-20000000000002212